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Azure Data Factory Masterclass

5 Days

·

Cohort-based Course

- HANDS ON LABS - CASE STUDIES  - REAL WORLD USE CASES - HALF-DAY SUPPORT UPON COMPLETION OF THE COURSE

Hosted by

Alpa Buddhabhatti

I am Microsoft Certified Trainer and certified in Azure Data engineer.

Course overview

Azure Data Factory

In this course, we'll deep dive into developing, debugging, testing and deploying pipelines in Azure Data Factory. After going through the ADF, we'll see how to integrate ADF with other Azure Services like Azure Logic Apps, Azure Functions, Azure Key Vaults, etc, and also create pipelines in real-time. After learning the integration, we'll build a real-time project and deploy it using Azure DevOps (learn the process of CI/CD) pipelines, this will be done using ARM templates in a test environment and then deploy the same into a live/prod environment. 

At the end, we'll look into interviews questions/ FAQs of Azure Data Factory

Who is this course for

01

Anyone who is eager to start a career as Azure Data Engineer.

02

This course is for developers, BAs, Testers & DBAs.

03

If you like to jump-start your career as a Azure Data Engineer, this course is for you.

What you’ll get out of this course

ACCELERATE YOUR CAREER, BECOME RECONGIZED AS AN EXPERT!

Accelerate your career and get access to better opportunity in Azure Data.

REAL WORLD USE CASES

You will get real world Azure Data Integration experience which you can use later on your organization

LEARN BY DOING

You will get hands on experience through out this course


  • Instructor-led live classes.
  • Quizzes & Assignment for every topic
  • Step by step crystal clear explanation.
  • Interview tips are added to each topic.
  • Every concept is explained with the practical demo.
  • Certificate of completio
A KEY OUTCOME OR TOPIC COVERED IN THIS COURSE

Students will learn about following Azure Services and topics:

  • Azure Data Factory
  • Azure Logic Apps
  • Azure Function
  • Azure Key Vault
  • Azure SQL Database
  • Azure Blob Storage
  • Azure Data Lake GEN2
  • Azure DevOps & ARM templates
  • Data Integration Pipelines
RESOURCES

You will get presentations(Slids), GitRepo, Materials and Knowledge about Azure Data services

SUPPORTS

You will get support on any issues on following week

What people are saying

        I am so glad that I have attended this course. I have now got experience on Azure Data side. I have started applying to Azure Data Engineer career. Thank you Alpa. Looking forward to other course related to Azure Data Platform.
Sujay Gopalappa

Sujay Gopalappa

Student, University of Northampton, UK
        I have got very positive experience from this course. I am now using ADF and really enjoying it by creating ADF Pipelines.
Mehul Patel

Mehul Patel

Power platform Consultant, IL, USA

Meet your instructor

Alpa Buddhabhatti

Alpa Buddhabhatti

Azure Data Engineer

I am an Azure Data Engineer with a passion for data and technology. I am Microsoft Certified Trainer and certified in Azure Data engineer and Azure Data Science. I am working on Azure services such as Logic Apps, Azure Functions, Azure Key Vault, Azure, Azure Data Factory, Azure Storage and Azure Data Lake.


I am also public speaker at Data Conference such as SQLBITS, PASSSUMMIT, SQLSaturday, etc

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Azure Data Factory Masterclass

Course syllabus

01

Azure Data Factory Overview

  • A quick overview of ADF
  • Key components of ADF
  • Why ADF?
  • When to use ADF?
  • How does it works?

02

Dynamic Pipeline

  • Overview of Dynamic Pipeline( Variables, Parameters, Expressions etc).
  • Demos

03

Demos

  • Creating ETL or ELT Pipelines
  • Moving Data From Azure Blob Storage to Azure Data Lake gen2
  • Applying Transformation Using Data Flow & Storing data to Azure SQL DB

04

ADF Integration Runtime Overview

  • Overviews
  • Demo

05

Use Cases

  • Data Movements & Data Transformation
  • Do specific calculation using Azure Functions
  • Sending Email Notification using Azure Logic Apps
  • Debug Pipeline

06

CICD Pipelines

  • Creating CICD Pipeline using ARM template
  • Deployment


07

Tips & Tricks

  1. What to keep in minds while creating ADF Pipelines?
  2. How to get job in Azure Data Fields?


08

Best Practices

09

Q&A

Course schedule

4 hours per day
  • APRIL 3, 2023

    4 PM GMT - 8 PM GMT

    ADF Quick Overview

    Creating Frist ADF Pipeline

    Set up Git Repo

    Execute Pipeline

    Debug Pipeline

    Schedule Pipeline

    Summaries Day 1

    Q&A

    Survey Day 1

  • APRIL 4, 2022

    4 PM GMT - 8 PM GMT

    Recap of Day 1

    Pipeline Activities

    Overview of Dynamic Pipelines(Variables & Parameters, Global Parameters, expressions)

    Series of Demo for Dynamic Pipelines

    Summaries Day 2

    Q&A

    Survey Day 2

  • APRIL 5, 2023

    4 PM - 8 PM GMT

    Recap Day 2

    Data Flows

    Real world Use cases

    Summaries Day 3

    Q&A

    Survey Day 3

  • APRIL 6, 2023

    4 PM GMT - 8 PM GMT

    Recap Day 3

    ADF & DevOps

    Tips and Tricks

    Best Practice

    Summaries Day 4

    Q&A

    Survey Day 4

  • APRIL 7, 2023

    4 PM GMT - 8 PM GMT

    Support on ADF Project

    Support on ADF POC




Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
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Azure Data Factory Masterclass